Exploring Timeline-Based Malware Classification
Published in IFIP advances in information and communication technology • Jan 1, 2013
NobleIDNI9P48W52R35S64
Authors:,,
Rafiqul Islam
Irfan Altas
Md. Saiful Islam
Abstract
Over the decades or so, Anti-Malware (AM) communities have been faced with a substantial increase in malware activity, including the development of ever-more-sophisticated methods of evading detection. Researchers have argued that an AM strategy which is successful in a given time period cannot work...
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